Federated Learning Framework for Enhancing Cooperative Perception in Connected and Autonomous Vehicles

A specialized federated learning framework, FedDWA, is introduced to address data heterogeneity challenges in cooperative perception tasks, enabling connected and autonomous vehicles to collaboratively enhance their environmental perception models while preserving data privacy.